After applying the SIFT method, I found that the claim "AI can detect 90% of crimes before they happen" is misleading
At first the original article form IFLScience exaggerates what the technology actually does. The AI system, developed using research from the University of Chicago does not detect or stop crimes before they occur. Instead, it analyzes past crime data within small geographic areas to predict where crime is more likely to happen in the near future.
When investigating the source further, it became clear that the "90% accuracy" refers only to predicting general crime hotspot, not specific crimes, people or events. Additionally the claim is weakened by the limitation that not all crimes are reported. Because the AI relies entirely on recorded data, any gaps or biases in reporting will directly affect its predictions. This means the system cannot fully represent actual crime patterns, which further challenges the accuracy of this claim.